Level

Netskope

Staff Engineer DevOps, Data Security (DLP)

Netskope is hiring a Staff Engineer DevOps, Data Security (DLP). Level rates it ; you can apply on Netskope.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions devops, cloud infrastructure and automation among its tools and skills.
  • Level classes it as a senior role.
  • Netskope has 127 other open roles on Level.

AI in this role

Build and operate scalable infrastructure, automation, and platforms for Netskope Data Security services.

devopscloud-infrastructureautomationsecurity-engineering

Join the Future of Security at Netskope

Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.

At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security.

Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram.

Please note, this team is hiring across multiple levels. Candidates will be individually assessed and appropriately leveled based on their skills and experience.

About the Role

Please note, this team is hiring across multiple levels. Candidates will be individually assessed and appropriately leveled based on their skills and experience.

The Netskope Data Security team is focused on providing unrivaled visibility and real-time data protection. Our products help ensure that customers' data is protected wherever it lives.

Our engineers architect, build, test, deploy, and operate highly scalable, high-performance data protection services across public cloud, private cloud, and on-premises environments.

In this role, you will help build and operate the infrastructure, automation, and engineering platforms that enable our Data Security services to be deployed and operated reliably at global scale. You will work closely with development, SRE, Platform Engineering, Operations, QA, and cloud infrastructure teams. You can read more about our best-in-class Data Security solutions at Netskope One Data Security. 

What's in It for You?

We are looking for DevOps engineers who enjoy solving complex infrastructure and production engineering problems through a combination of software development, automation, and strong systems knowledge.

You will have the opportunity to work across Kubernetes, cloud infrastructure, CI/CD, observability, networking, and distributed systems while developing tools and automation that improve how our engineering teams build, deploy, and operate services.

You will also have opportunities to use modern AI-assisted development tools to accelerate automation, software development, troubleshooting, and engineering productivity.

What You Will Be Doing

  • Deploy, operate, and troubleshoot Kubernetes-based services across public cloud, private cloud, and on-premises environments.
  • Build and maintain automation for deployments, releases, configuration management, infrastructure, and operational workflows.
  • Develop tools and software that improve the reliability, scalability, and efficiency of our services and engineering processes.
  • Work with development, SRE, Platform Engineering, Operations, QA, cloud providers, and other teams to resolve complex production and deployment issues.
  • Improve monitoring, metrics, logging, dashboards, and alerting to provide strong visibility into application and infrastructure health.
  • Investigate complex issues spanning applications, Kubernetes, networking, infrastructure, and cloud platforms, and drive them through root cause and resolution.
  • Identify repetitive or operationally expensive processes and replace them with reliable automation and tooling.
  • Help improve service scalability, performance, capacity management, and operational readiness.
  • Contribute to runbooks, operational procedures, and engineering best practices.
  • Participate in the team's production support and on-call rotation.
  • Use AI-assisted development tools and coding agents as part of day-to-day engineering to accelerate development of automation, tooling, testing, troubleshooting, and operational solutions. 

Required Skills and Experience

  • 5+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, infrastructure engineering, or a related role. Staff-level candidates will typically have 8+ years of relevant experience.
  • Strong hands-on experience with Linux and troubleshooting production systems.
  • Experience deploying and operating Kubernetes-based services in production.
  • Experience with at least one major public or private cloud platform such as AWS, GCP, Azure, or OpenStack.
  • Solid understanding of networking fundamentals including TCP/IP, DNS, load balancing, SSL/TLS, and cloud or Kubernetes networking.
  • Programming and automation experience using Python, Go, or a similar language.
  • Experience with CI/CD, infrastructure automation, or configuration management using tools such as Jenkins, Ansible, Terraform, or equivalent technologies.
  • Experience with production monitoring and observability using technologies such as Prometheus, Grafana, Sumo Logic, Elastic Stack, or equivalent platforms.
  • Strong troubleshooting and problem-solving skills across applications and infrastructure.
  • Ability to independently own and deliver technical projects.
  • Strong written and verbal communication skills and the ability to collaborate effectively with geographically distributed teams.
  • Hands-on experience using AI-assisted development tools and coding agents to accelerate software development, automation, testing, debugging, and problem solving, with the ability to review, validate, and take ownership of AI-generated code.

Preferred Qualifications

  • Experience building internal platforms, developer tooling, release automation, or other systems that improve engineering productivity.
  • Experience troubleshooting distributed systems and large-scale cloud services.
  • Strong software engineering practices, including code review, testing, debugging, and maintainability.
  • Experience working across multiple cloud or hybrid-cloud environments.

Additional Expectations for Staff-Level Candidates

Staff-level candidates should demonstrate technical leadership beyond individual project execution. This includes:

  • Leading complex technical initiatives and driving solutions across multiple teams or systems.
  • Designing platforms, automation, or architectural improvements that have broader engineering impact.
  • Providing technical direction, mentoring engineers, and helping raise engineering standards across the organization.

Education

  • BS in Computer Science, Engineering, or equivalent practical experience required. An advanced degree is strongly preferred.

Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.

Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.

The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.

How we rate this

Staff Engineer DevOps, Data Security (DLP) at Netskope rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

DevOpsCloud InfrastructureAutomationSecurity Engineering

Questions you could be asked

  1. Tell me about a project where devops was part of your work. What did you do?
  2. Tell me about a project where cloud infrastructure was part of your work. What did you do?
  3. Tell me about a project where automation was part of your work. What did you do?
  4. Tell me about a project where security engineering was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: DevOps, Cloud Infrastructure, Automation, and Security Engineering. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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